Intangible Asset Valuation MCP Server

Intangible Asset Valuation Engine

<!-- mcp-name: io.github.simonmak-ascent/intangible-valuation -->

A complete intangible asset valuation library implementing 124+ functions from the Intangible Asset Valuation textbook — Python library, MCP server, and AI-agent skills.

Overview

A production-grade Python library for intangible asset valuation, implementing every formula from the Intangible Asset Valuation textbook by Simon Mak, William Yuen, Paul Wu, and Wayne Hu (Valuation in Practice Series, Ascent Partners). Designed for developers, financial analysts, accountants, and AI agents who need auditable, structured valuation computations for ASC 805 / IFRS 3 compliant workflows.

Three-layer architecture:

graph TB
    subgraph Library["Python Library"]
        MOD["22 Modules<br/>124+ Functions"] --> VR["ValuationResult"]
    end
    subgraph MCP["MCP Server"]
        VR --> SVR["FastMCP Server<br/>14 folded tools"]
    end
    subgraph Skills["AI-agent skills"]
        SVR --> AV["Asset Valuation"]
        SVR --> DR["Discount Rates"]
        SVR --> PPA["Purchase Price Allocation"]
        SVR --> IMP["Impairment Testing"]
    end
    style Library fill:#0083AB,color:#fff
    style MCP fill:#4CAF50,color:#fff
    style Skills fill:#9C27B0,color:#fff

1. Python Library — 22 modules, 124+ typed functions, all returning ValuationResult (value + assumptions + steps + formula reference)
2. MCP Server — 14 folded tools (124+ formulas) for AI agents via stdio and hosted Streamable HTTP
3. AI-agent skills — 4 skill definitions with workflow guidance for valuation domains

Installation

pip install intangible-valuation          # library only
pip install intangible-valuation[mcp]     # + MCP server
pip install intangible-valuation[dev]     # + pytest, ruff, mypy

Quick Start

Python Library

from intangible_valuation.core.time_value import present_value
from intangible_valuation.core.discount_rates import build_up_discount_rate
from intangible_valuation.income_methods.relief_from_royalty import relief_from_royalty

# Present Value
result = present_value(future_value=500_000, discount_rate=0.10, periods=8)
print(f"PV: ${result.value:,.2f}")  # $233,253.69

# Build-Up Discount Rate
rate = build_up_discount_rate(
    risk_free_rate=0.04, equity_risk_premium=0.06,
    size_premium=0.02, industry_risk_premium=0.01, specific_risk_premium=0.03,
)
print(f"Discount rate: {rate.value:.2%}")  # 16.00%

Shortened. The full README is on GitHub.